Microsoft Azure has been gaining momentum and adoption across the enterprise over the past couple of years. With a catalog of services aimed directly at the enterprise, they are determined to convince organizations to switch workloads from competing clouds. One of the biggest challenges end-users face is the switching costs and learning curve associated with going from one cloud technology to another. Shifting workloads from say Amazon Web Services (AWS) to Azure requires learning a new cloud technology and its nuances from the ground up. DivvyCloud helps by normalizing infrastructure data and resource controls/actions while providing consistent policy compliance across clouds.
Supported Resource Types
Instance / Virtual Machines
Networks / Subnets
Blob Storage (Object Storage)
Route Tables / Routes
The DivvyCloud Advantage
Service Management & ARM Support
Despite Microsoft pushing Azure Resource Management (ARM) support and aiming to phase service management over the next few years, there are many organizations that have not yet made the transition. We recognize this and provide support for both Service Management and ARM API endpoints. This ensures visibility and coverage across Azure subscriptions.
Consistent Policy Enforcement
DivvyCloud automation Bot’s work within our unified data model and therefore can enforce security, cost and performance policies across different Azure deployments (as well as other clouds). Our unified, extensible platform allows consistent automation and integration across multiple Azure deployments.
Organize assets in new ways by leveraging DivvyCloud resource groups with auto-curation capabilities. Resource groups are a many-to-many relationship that can contain resources from multiple Azure subscriptions and any other supported cloud technology such as AWS, VMware or OpenStack. They enable IT and stakeholders to better organize and delegate permissions to cloud and application resources.
Reduce the complexities and barriers to entry when switching users between Microsoft Azure and other popular cloud technologies such as Amazon Web Services and Google Compute Engine. Our unified experience does the heavy lifting for stakeholders. With DivvyCloud all clouds look and feel the same making it easier for end-users to focus the compute, storage and networking resources they require.
There’s a great deal of waste that goes on with resources running on a 24x7x365 basis. Often times development, QA and staging compute instances are only required during business hours and/or can be suspended entirely during the weekend/holidays. Scheduled instances enables IT to define custom downtime schedules which can drastically cut down on the monthly bill. By coupling the feature with resource groups you can easily define different schedules as needed.
Reduce the steps required for users to provision the compute power they require for their day-to-day tasks. Provisioning templates provide point-and-click access to compute instances and can be shared amongst users in the organization. Template authors can define optional overrides as well, allowing the user to personalize a standard template while remaining in compliance.
Identify and even prevent end-users from spinning up excess compute capacity by defining blacklisted instance types. Custom policies can be enforced per Azure subscription making it easy for administrators to keep a handle on cloud cost across their cloud environments.
Disparate Resource Notification
Too often end-users mistakenly provision in regions that aren’t used for your product/service. You can now easily prevent this resulting not only in cost reduction, but bolstering corporate security posture by eliminating unknown entry points into the cloud.